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Jung kuan (Ernie) Liu

Ernie is part of NGTOC working as a Research Scientist in CEGIS.

Science and Products

Remote sensing-based 3D assessment of landslides: A review of the data, methods, and applications

Remote sensing (RS) techniques are essential for studying hazardous landslide events because they capture information and monitor sites at scale. They enable analyzing causes and impacts of ongoing events for disaster management. There has been a plethora of work in the literature mostly discussing (1) applications to detect, monitor, and predict landslides using various instruments and image anal
Authors
Hessah Albanwan, Rongjun Qin, Jung-Kuan (Ernie) Liu
By
Core Science Systems Mission Area, Center of Excellence for Geospatial Information Science (CEGIS)
link
USGS

3DEPPCC: An automated DL-based point cloud classification tool for 3DEP point clouds

This toolkit will enhance 3DEP classification accuracy and automation, broadening its usability to external users
By
Community for Data Integration (CDI)
link

3DEPPCC: An automated DL-based point cloud classification tool for 3DEP point clouds

This toolkit will enhance 3DEP classification accuracy and automation, broadening its usability to external users
Learn More

Science and Products

Remote sensing-based 3D assessment of landslides: A review of the data, methods, and applications

Remote sensing (RS) techniques are essential for studying hazardous landslide events because they capture information and monitor sites at scale. They enable analyzing causes and impacts of ongoing events for disaster management. There has been a plethora of work in the literature mostly discussing (1) applications to detect, monitor, and predict landslides using various instruments and image anal
Authors
Hessah Albanwan, Rongjun Qin, Jung-Kuan (Ernie) Liu
By
Core Science Systems Mission Area, Center of Excellence for Geospatial Information Science (CEGIS)
link
USGS

3DEPPCC: An automated DL-based point cloud classification tool for 3DEP point clouds

This toolkit will enhance 3DEP classification accuracy and automation, broadening its usability to external users
By
Community for Data Integration (CDI)
link

3DEPPCC: An automated DL-based point cloud classification tool for 3DEP point clouds

This toolkit will enhance 3DEP classification accuracy and automation, broadening its usability to external users
Learn More